• Title/Summary/Keyword: smart media industry

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HTML5-based Web TV Industry Trends

  • Park, Sehwan;Kim, Jungho;Yu, Daesang;Park, Jongkyu
    • International Journal of Internet, Broadcasting and Communication
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    • v.5 no.2
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    • pp.15-17
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    • 2013
  • The web service companies develop the App support technique of the HTML5 base in the smart media system and smart TV competitively while the Web platform of the HTML5 base is legislated with the next generation national standard. It is essential to the web kernel, which is the common library of the operating system including the file, window, resource and network management is provided in order to support the various app developments of the HTML5 base effectually. Additionally, the web application program can support UI/UX function of the desktop user using the web browser and JavaScript drive and administration, window management function, and etc. is needed.

Changes in the marketing direction and form of exhibitions using social media

  • Im-yeoreum Kim;Gi-Hwan Ryu
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.2
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    • pp.268-272
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    • 2023
  • With the development of SNS, companies and individuals are actively marketing through social media to develop their own products. It is also important to post posts promoting on simple SNS or to show a lot of exposure using algorithms, but customers upload reviews or proof shots of the product on their own, naturally increasing the exposure of the product and increasing the purchasing power of potential customers. As the number of products that users want to purchase through SNS is increasing, they want to access and purchase not only tangible products such as goods and food, but also intangible services through SNS. In this paper, we would like to study exhibitions that have both tangible and intangible characteristics. SNS accounts that mainly introduce these products by searching for reviews have been created while spending leisure time such as exhibitions and fairs, reducing the hassle of searching for personal interests on search engines, and providing prices and reviews from the exhibition's schedule, lowering entry barriers and increasing purchasing power. Using this point, many exhibitions not only display works, but also open various experience centers, and create a photo zone or a unique exhibition hall atmosphere to attract many customers. In this study, we study the impact of SNS on the leisure culture of exhibition. The marketing direction in the situation where SNS marketing is becoming the mainstream is presented, and the change in the form of exhibition is described and presented as an academic approach.

Low Rate VLC Receiver Design Using NCP302 Voltage Detector for IoT/IoL Connected Smart Homes

  • Lee, Beomhee;Mariappan, Vinayagam;Khudaybergenov, Timur;Han, Jungdo;Cha, Jaesang
    • International journal of advanced smart convergence
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    • v.7 no.4
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    • pp.50-56
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    • 2018
  • The Internet of Things (IoT) and Visible Light Communication (VLC) is opening up new services in lighting industry by integrating sensory network features in addition to standard illumination functionality. In this progressive developments, the next generation lighting devices for smart homes are capable to sense the environmental conditions and transfer the captured data through lights to gateway controller to access remotely. The smart home environmental sensor information's are few kbps only so VLC systems need to built-in with low rate light connectivity to transfer data to the gateway. To provide error free communication, the quality of a received light signal is important to be considered when designing an VLC receiver. Therefore, this paper proposes the design of robust low rate IoL receiver design using NCP302 voltage detector for micro controller to adapt the IoT/IoL front end module for system integration. To evaluate the proposed system performance, the Arduino UNO based IoT/IoL controller designed with lighting, sensors and lights connectivity interfaces. The experimental result shows that the robust interference rejection is feasible on proposed VOL receiver and possible to have an error-free communication up to 10 kbps at a low SNR using OOK modulation.

A Study on Gamification Consumer Perception Analysis Using Big Data

  • Se-won Jeon;Youn Ju Ahn;Gi-Hwan Ryu
    • International Journal of Advanced Culture Technology
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    • v.11 no.3
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    • pp.332-337
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    • 2023
  • The purpose of the study was to analyze consumers' perceptions of gamification. Based on the analyzed data, we would like to provide data by systematically organizing the concept, game elements, and mechanisms of gamification. Recently, gamification can be easily found around medical care, corporate marketing, and education. This study collected keywords from social media portal sites Naver, Daum, and Google from 2018 to 2023 using TEXTOM, a social media analysis tool. In this study, data were analyzed using text mining, semantic network analysis, and CONCOR analysis methods. Based on the collected data, we looked at the relevance and clusters related to gamification. The clusters were divided into a total of four clusters: 'Awareness of Gamification', 'Gamification Program', 'Future Technology of Gamification', and 'Use of Gamification'. Through social media analysis, we want to investigate and identify consumers' perceptions of gamification use, and check market and consumer perceptions to make up for the shortcomings. Through this, we intend to develop a plan to utilize gamification.

Presenting Practical Approaches for AI-specialized Fields in Gwangju Metro-city (광주광역시의 AI 특화분야를 위한 실용적인 접근 사례 제시)

  • Cha, ByungRae;Cha, YoonSeok;Park, Sun;Shin, Byeong-Chun;Kim, JongWon
    • Smart Media Journal
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    • v.10 no.1
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    • pp.55-62
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    • 2021
  • We applied machine learning of semi-supervised learning, transfer learning, and federated learning as examples of AI use cases that can be applied to the three major industries(Automobile industry, Energy industry, and AI/Healthcare industry) of Gwangju Metro-city, and established an ML strategy for AI services for the major industries. Based on the ML strategy of AI service, practical approaches are suggested, the semi-supervised learning approach is used for automobile image recognition technology, and the transfer learning approach is used for diabetic retinopathy detection in the healthcare field. Finally, the case of the federated learning approach is to be used to predict electricity demand. These approaches were tested based on hardware such as single board computer Raspberry Pi, Jaetson Nano, and Intel i-7, and the validity of practical approaches was verified.

Development of Contents For Building Construction Education Using Smart Media and Utility Verification of the Contents (스마트 미디어를 활용한 건축시공 교육 콘텐츠 개발 및 효용성 검증)

  • Yun, Ji-In;Kim, Taek-Jung;Choi, Yoon-Ki
    • Korean Journal of Construction Engineering and Management
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    • v.19 no.3
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    • pp.23-32
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    • 2018
  • As the size of the construction industry becomes larger, there are many tries to change the construction education for growing the pre-engineering who has many directly experience. However, architectural construction education, which requires a lot of practical understanding, is still limited to educational textbooks and field trips. Therefore, this study proposed the development of educational contents which can indirectly experience by combining smart media such as time-lapse, video and animation. Also, we verified the effectiveness of contents developed based on usability, practicality(fitness of education), necessity, possibility of commercialization. We will contribute to enhance the effectiveness of education through building construction education contents that take advantage of contents based on this.

A Study on the Predictive Analytics Powered by the Artificial Intelligence in the Movie Industry

  • Song, Minzheong
    • International journal of advanced smart convergence
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    • v.10 no.4
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    • pp.72-83
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    • 2021
  • The use of the predictive analytics (PA) powered by the artificial intelligence (AI) is more important in the movie sector during the COVID-19 pandemic, because Hollywood witnessed the impact of the 'Netflix Effect' and began to invest in data and AI. Our purpose is to discover a few cases of the AI centered PA in the movie industry value chain based on five objectives of PA: Compete, grow, enforce, improve, and satisfy. Even if movie companies' interest is to predict future success for competing with over-the-tops (OTTs) at a first glance, it is observed, once they start to use the PA with the AI, they try to utilize the enhanced PA platforms for remaining four objectives. As a result, ScriptBook, Vault, Pilot, Cinelytic and Merlin Video (Merlin) are use cases for the objective 'compete.' Movio of Vista Group International and Datorama of Salesforce are use cases for the objective 'grow.' Industrial Light & Magic (ILM) and Geena Davis Institute on Gender in Media (GDI) with Disney are use cases for the objective 'enforce.' Watson, Benjamin, and Greenlight Essential are use cases for the objective 'improve.' Disney Research (DR) with Simon Fraser University and California Institute of Technology is the use case for the objective 'satisfy.'

Trends of SOC & SIEM Technology for Cybersecurity (Cybersecurity를 위한 SOC & SIEM 기술의 동향)

  • Cha, ByungRae;Choi, MyeongSoo;Kang, EunJu;Park, Sun;Kim, JongWon
    • Smart Media Journal
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    • v.6 no.4
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    • pp.41-49
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    • 2017
  • According to the occurrence of many security incidents, the SOC(Security Operation Center) and SIEM(Security Information & Event Management) are concentrated recently. The various studies and commercial products of the information security industry are being released. As reflected in this situation, NIST in the US is publishing and revising the document about the Cybersecurity Framework. In this study, we investigated the NIST's Cyberseurity Framework, trends in SOC and SIEM security technologies and solutions, and also introduce the open source Apache Metron of a real-time Bigdata security tool.

Development of ResNet based Crop Growth Stage Estimation Model (ResNet 기반 작물 생육단계 추정 모델 개발)

  • Park, Jun;Kim, June-Yeong;Park, Sung-Wook;Jung, Se-Hoon;Sim, Chun-Bo
    • Smart Media Journal
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    • v.11 no.2
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    • pp.53-62
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    • 2022
  • Due to the accelerated global warming phenomenon after industrialization, the frequency of changes in the existing environment and abnormal climate is increasing. Agriculture is an industry that is very sensitive to climate change, and global warming causes problems such as reducing crop yields and changing growing regions. In addition, environmental changes make the growth period of crops irregular, making it difficult for even experienced farmers to easily estimate the growth stage of crops, thereby causing various problems. Therefore, in this paper, we propose a CNN model for estimating the growth stage of crops. The proposed model was a model that modified the pooling layer of ResNet, and confirmed the accuracy of higher performance than the growth stage estimation of the ResNet and DenseNet models.

A Study on the Change of Tourism Marketing Trends through Big Data

  • Se-won Jeon;Gi-Hwan Ryu
    • International journal of advanced smart convergence
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    • v.13 no.2
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    • pp.166-171
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    • 2024
  • Recently, there has been an increasing trend in the role of social media in tourism marketing. We analyze changes in tourism marketing trends using tourism marketing keywords through social media networks. The aim is to understand marketing trends based on the analyzed data and effectively create, maintain, and manage customers, as well as efficiently supply tourism products. Data was collected using web data from platforms such as Naver, Google, and Daum through TexTom. The data collection period was set for one year, from December 1, 2022, to December 1, 2023. The collected data, after undergoing refinement, was analyzed as keyword networks based on frequency analysis results. Network visualization and CONCOR analysis were conducted using the Ucinet program. The top words in frequency were 'tourists,' 'promotion,' 'travel,' and 'research.' Clusters were categorized into four: tourism field, tourism products, marketing, and motivation for visits. Through this, it was confirmed that tourism marketing is being conducted in various tourism sectors such as MICE, medical tourism, and conventions. Utilizing digital marketing via online platforms, tourism products are promoted to tourists, and unique tourism products are developed to increase city branding and tourism demand through integrated tourism content. We identify trends in tourism marketing, providing tourists with a positive image and contributing to the activation of local tourism.